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<body style="overflow-wrap:break-word; word-break: break-word;"><div class="mail_android_message" style="line-height: 1; padding: 0.5em">Hi David, <br/><br/>You might want to take a look at this: <a href="https://www.campbellcollaboration.org/escalc/html/EffectSizeCalculator-SMD30.php">https://www.campbellcollaboration.org/escalc/html/EffectSizeCalculator-SMD30.php</a> <br/><br/>Regards<br/><br/>Tobias Saueressig<br/><br/>--<br/>Diese Nachricht wurde von meinem Android Mobiltelefon mit GMX Mail gesendet.</div><div class="mail_android_quote" style="line-height: 1; padding: 0.3em"><html><body>Am 21.06.21, 15:07 schrieb David Cicchetti <david.cicchetti@student.uni-tuebingen.de>:</body></html><blockquote class="gmail_quote" style="margin: 0.8ex 0pt 0pt 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;">
Hello everyone,
<br>
<br> I am conducting a meta analysis for the first time and for some papers
<br> I need to calculate the wanted effect sizes (Cohen's d) of main
<br> effects and interactions of 2x2 repeated measures ANOVAs.
<br> Unfortunately, I have found barely information about how to do this so
<br> far (actually only for one-way ANOVA).
<br>
<br> Is it possible to do this only with F-values, degrees of freedom or
<br> directly from (partial) eta squared (as often reported)? Thus,
<br> assuming we have no information of means, MSE, etc.
<br>
<br> Thank you very much in advance!
<br>
<br> Best regards,
<br> David
<br>
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